Heterotrophic soil respiration—Comparison of different models describing its temperature dependence

Tuomi, Mikko; Vanhala, Pekka; Karhu, Kristiina; Fritze, Hannu; Liski, Jari

doi:10.1016/j.ecolmodel.2007.09.003

Cited by 158 publications

(142 citation statements)

References 15 publications

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“…Mobile N forms like NO 3 − , NH 4 + and amino acids are quickly immobilized by microorganisms and plant roots in the mineral soil (Inselsbacher et al 2010). Litter-derived P can be adsorbed to the mineral matrix (Tiessen 2008) or taken up by plant roots before it enters the mineral soil (Attiwill and Adams 1993). It is therefore possible that because DOC, inorganic N and P were either adsorbed to the mineral matrix or turned over quickly, in the present study changes in these pools caused by litter manipulation were not detectable with standard soil extraction methods that target plant-accessible compounds.…”

Section: Soil Propertiesmentioning

confidence: 65%

Contribution of litter layer to soil greenhouse gas emissions in a temperate beech forest

et al. 2016

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Background and aims The litter layer is a major source of CO 2 , and it also influences soil-atmosphere exchange of N 2 O and CH 4 . So far, it is not clear how much of soil greenhouse gas (GHG) emission derives from the litter layer itself or is litter-induced. The present study investigates how the litter layer controls soil GHG fluxes and microbial decomposer communities in a temperate beech forest. Methods We removed the litter layer in an Austrian beech forest and studied responses of soil CO 2 , CH 4 and N 2 O fluxes and the microbial community via phospholipid fatty acids (PLFA). Soil GHG fluxes were determined with static chambers on 22 occasions from July 2012 to February 2013, and soil samples collected at 8 sampling events.Results Litter removal reduced CO 2 emissions by 30 % and increased temperature sensitivity (Q 10 ) of CO 2 fluxes. Diffusion of CH 4 into soil was facilitated by litter removal and CH 4 uptake increased by 16 %. This effect was strongest in autumn and winter when soil moisture was high. Soils without litter turned from net N 2 O sources to slight N 2 O sinks because N 2 O emissions peaked after rain events in summer and autumn, which was not the case in litter-removal plots. Microbial composition was only transiently affected by litter removal but strongly influenced by seasonality. Conclusions Litter layers must be considered in calculating forest GHG budgets, and their influence on temperature sensitivity of soil GHG fluxes taken into account for future climate scenarios.

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Section: Soil Propertiesmentioning

confidence: 65%

Contribution of litter layer to soil greenhouse gas emissions in a temperate beech forest

et al. 2016

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“…The Exponential and Arrhenius functions are simplifications of the one proposed by Van't Hoff (1901). Lloyd and Taylor (1994) proposed a modified Arrhenius function and Tuomi et al (2008) and O'Connell (1990) suggested a Gaussian formulation. The details of the five variants are described in Sect.…”

Section: Methodsmentioning

confidence: 99%

Temperature response functions introduce high uncertainty in modelled carbon stocks in cold temperature regimes

2010

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Abstract. Models of carbon cycling in terrestrial ecosystems contain formulations for the dependence of respiration on temperature, but the sensitivity of predicted carbon pools and fluxes to these formulations and their parameterization is not well understood. Thus, we performed an uncertainty analysis of soil organic matter decomposition with respect to its temperature dependency using the ecosystem model LPJ-GUESS.We used five temperature response functions (Exponential, Arrhenius, Lloyd-Taylor, Gaussian, Van't Hoff). We determined the parameter confidence ranges of the formulations by nonlinear regression analysis based on eight experimental datasets from Northern Hemisphere ecosystems. We sampled over the confidence ranges of the parameters and ran simulations for each pair of temperature response function and calibration site. We analyzed both the long-term and the short-term heterotrophic soil carbon dynamics over a virtual elevation gradient in southern Switzerland.The temperature relationship of Lloyd-Taylor fitted the overall data set best as the other functions either resulted in poor fits (Exponential, Arrhenius) or were not applicable for all datasets (Gaussian, Van't Hoff). There were two main sources of uncertainty for model simulations: (1) the lack of confidence in the parameter estimates of the temperature response, which increased with increasing temperature, and (2) the size of the simulated soil carbon pools, which increased with elevation, as slower turn-over times lead to higher carbon stocks and higher associated uncertainties. Our results therefore indicate that such projections are Correspondence to: A. Wolf (annett.wolf@env.ethz.ch) more uncertain for higher elevations and hence also higher latitudes, which are of key importance for the global terrestrial carbon budget.

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“…Several restrictions to the significance of the Q 10 concept, especially if mistaken as a means to extrapolate soil CO 2 losses into a warmer future, have been brought up Tuomi et al, 2008). Here, we examine an additional restriction which has received remarkably little attention in literature.…”

Section: Introductionmentioning

confidence: 99%

“…Further temperature sensitivity functions are summarised by Kätterer et al (1998), Bauer et al (2008) and Tuomi et al (2008). The temperature sensitivity coefficients of these methods (Q 10 and E a ) are not equivalent.…”

Section: Temperature Sensitivity Functionsmentioning

confidence: 99%

Measurement depth effects on the apparent temperature sensitivity of soil respiration in field studies

Graf¹,

Weihermüller²,

Huisman³

et al. 2008

Biogeosciences

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Abstract. CO 2 efflux at the soil surface is the result of respiration in different depths that are subjected to variable temperatures at the same time. Therefore, the temperature measurement depth affects the apparent temperature sensitivity of field-measured soil respiration. We summarize existing literature evidence on the importance of this effect, and describe a simple model to understand and estimate the magnitude of this potential error source for heterotrophic respiration. The model is tested against field measurements. We discuss the influence of climate (annual and daily temperature amplitude), soil properties (vertical distribution of CO 2 sources, thermal and gas diffusivity), and measurement schedule (frequency, study duration, and time averaging). Q 10 as a commonly used parameter describing the temperature sensitivity of soil respiration is taken as an example and computed for different combinations of the above conditions. We define conditions and data acquisition and analysis strategies that lead to lower errors in field-based Q 10 determination. It was found that commonly used temperature measurement depths are likely to result in an underestimation of temperature sensitivity in field experiments. Our results also apply to activation energy as an alternative temperature sensitivity parameter.

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Heterotrophic soil respiration—Comparison of different models describing its temperature dependence

Cited by 158 publications

References 15 publications

Contribution of litter layer to soil greenhouse gas emissions in a temperate beech forest

Contribution of litter layer to soil greenhouse gas emissions in a temperate beech forest

Temperature response functions introduce high uncertainty in modelled carbon stocks in cold temperature regimes

Measurement depth effects on the apparent temperature sensitivity of soil respiration in field studies

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